4.7 Article

On the nonlinear behaviour of oscillatory flow in a high pressure amplitude standing-wave thermoacoustic heat engine

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijheatmasstransfer.2022.123595

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Standing-wave thermoacoustic engines; Heat exchanger; Stack; Mean pressure Acoustic streaming; Fluidic pump; Numerical simulation; OpenFOAM

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This article focuses on the numerical study of nonlinear features in oscillatory flow of a high pressure amplitude standing wave thermoacoustic heat engine. The performance of thermoacoustic devices can be negatively affected by nonlinearities arising from high pressure amplitudes. Acoustic mass streaming is one such nonlinearity that can influence the system performance through undesired convective heat transfer. Hence, it is important to understand these nonlinear phenomena in thermoacoustic devices both theoretically and practically.
This article deals with the numerical study of the nonlinear features of oscillatory flow in a high pressure amplitude standing wave thermoacoustic heat engine. The overall performance of thermoacoustic devices can deteriorate due to nonlinearities caused by their operation at high pressure amplitudes. Acoustic mass streaming is one of these nonlinearities that can influence the performance of thermoacoustic systems by an undesirable convective heat transfer. Therefore, understanding the nonlinear phenomena within ther-moacoustic devices is of fundamental and practical importance. The Navier-Stokes and energy equations are solved on the structured meshes by resolving thermal and viscous boundary layers utilizing the open -source modelling software OpenFOAM. In particular, the paper looks in more detail at the causes of a non-uniform distribution of mean pressure along the resonator reported previously by both experimental and numerical studies. This is explained by an analogy to a distributed fluidic pump manifesting itself through the pumping effects of streaming patterns. Also, the non-linear regime of the mean dynamic pressure shows interesting start-up instabilities which can be influential on achievable efficiencies. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )

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